Senior Cybersecurity and AI Agent Security; MLOps Engineer

Position: Senior Cybersecurity and AI Agent Security (MLOps) Engineer
Role: AI Agent Security and Senior Cyberscurity

Experience:

6–12 years

Location:

Hyderabad, India
Work Mode:  Hybrid (3 days/week in-office)
Domain:  Healthcare / Life Sciences
Join Time:  Immediate

Employment Type:

Contract

Role

Summary:

We are seeking a   mid-level to senior Cybersecurity    to join our Security Architecture team, with a deep focus on   AI Security and next-generation Authorization systems  . This role involves applying security principles to Machine Learning Operations (MLOps), safeguarding AI models and data pipelines, and designing robust, scalable authorization layers using technologies like   API Gateways  . The ideal candidate is a hands-on problem-solver with a strong execution mindset and a background in secure software development.

Key Responsibilities
Perform security assessments focused on  AI/ML workloads, data pipelines, and MLOps platforms .
Track and follow up on remediation efforts, working closely with AI/ML Engineering and Data Science teams to drive closure.
Design and implement fine-grained  Authorization  controls for sensitive AI endpoints, and secure connectivity using  API Gateways .
Coordinate, execute, and manage security testing for AI systems, including model integrity and adversarial attack simulations.
Support  secure SDLC and Dev Sec Ops  practices , including design reviews for both traditional applications and new  MLOps pipelines .
Contribute to the design and development of internal security automation and tooling, requiring a  hands-on software development  approach.
Contribute to  threat modeling exercises  for new AI services and identity components.
Enhance identity solutions (IGA/PAM) to manage access for AI service accounts and data access roles.
Required Technical Expertise
AI/ML Security & Assurance
Experience securing Machine Learning Operations (MLOps) and data science environments.
Familiarity with risks to AI models (e.g., model evasion, poisoning, extraction).
Knowledge of applying security controls to AI data pipelines.
Identity, Authorization & API Security
Working knowledge of advanced Authorization frameworks  (e.g., OAuth, fine-grained access control).
Direct experience implementing and securing services via  API Gateways .
Strong understanding of identity solutions (SSO, IGA, and PAM) in a service-oriented architecture.
Application & Dev Sec Ops  Security
Understanding of secure SDLC and Dev Sec Ops  integration, specifically for microservices.
Solid grasp of  OWASP Top 10  and the  OWASP LLM and API Security Top 10
Hands-on Software Development:  Demonstrated ability to write and deploy secure code (e.g., Python, Go, or Java) for security tooling or automation.
Cloud & Platform Security
Strong understanding of cloud security fundamentals (AWS).
Familiarity with CNAPP and CSPM concepts and tooling.
Threat & Adversary Modeling
Good understanding of threat modeling methodologies .

Familiarity with the  MITRE ATT&CK framework  and how it applies to real-world attacks.

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